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What shipped, what broke, and what it really cost — from running production AI systems.

Latest articlesWhat shipped, what broke, and what it really cost — from running production AI systems.

Perplexity vs Grok

Perplexity vs Grok

Perplexity for sourced work research, Grok for live X discussion. Compare reasoning, free access, current subscriptions and team controls.

Nov 8, 2026AI

The lanes.Pick the one you came for.

132–155 / 1109
Vision Language Models: What Builders Can Trust

Vision Language Models: What Builders Can Trust

What vision language models can read, where they fail, and how to choose API or self-hosted models with a test plan for your own images.Oct 26, 2026Build
Intelligent Document Processing: How It Works

Intelligent Document Processing: How It Works

How intelligent document processing works, where Google, Azure, AWS and LLMs fit, and how to measure field accuracy before automating.Oct 26, 2026AI
AI Strategy: A One-Page Plan for Your Company

AI Strategy: A One-Page Plan for Your Company

Make six AI strategy decisions, compare services and software examples, plan your next 90 days, and fill in a one-page company template.Oct 26, 2026AI
Agentforce Pricing: Flex Credits, Conversations and User Plans

Agentforce Pricing: Flex Credits, Conversations and User Plans

Salesforce Agentforce pricing: Flex Credits, conversations, user licenses, edition prerequisites and cost examples from current Salesforce sources.Oct 26, 2026AI
Multi Agent Systems: When One Agent Beats a Team

Multi Agent Systems: When One Agent Beats a Team

When should you split one LLM agent into several? Compare supervisors, hierarchies, handoffs and group chat, with a task-based decision table.Oct 26, 2026Build
Prompt Injection: Direct and Indirect Attacks in AI Agents

Prompt Injection: Direct and Indirect Attacks in AI Agents

Understand direct and indirect prompt injection, how agents expose business data, and the safeguards to use before connecting an inbox or CRM.Oct 26, 2026Build
GraphRAG: How It Works and When to Use It

GraphRAG: How It Works and When to Use It

How Microsoft GraphRAG answers questions across documents, what drives indexing work, and when to use it instead of vector, hybrid or agentic RAG.Oct 26, 2026Build
NIST AI RMF: What It Asks and Your First 30 Days

NIST AI RMF: What It Asks and Your First 30 Days

Understand NIST AI RMF, its four functions and Generative AI Profile, with a 30-day plan and evidence a small team can show customers.Oct 26, 2026AI
ChatGPT Agent: What Replaced Agent Mode

ChatGPT Agent: What Replaced Agent Mode

ChatGPT agent is retired. Find where browser work, apps, takeover and scheduled tasks live now, plus current access and the next steps.Oct 26, 2026AI
Notion vs ClickUp: Choose by How Your Team Works

Notion vs ClickUp: Choose by How Your Team Works

Notion vs ClickUp for small teams: compare docs, projects, built-in AI, credit rules and migration gaps to choose one workspace.Oct 25, 2026AI
LearnWorlds Review

LearnWorlds Review

LearnWorlds review for consultants and coaches: interactive video, assessments, AI tools, mobile apps, plan limits and who should choose another platform.Oct 25, 2026Business
Unbounce Review

Unbounce Review

Unbounce reviewed for paid traffic: the builder, A/B testing, AI, integrations and domain publishing, plus the limits that decide who should buy it.Oct 25, 2026Business
AI Agent Architecture: The Production Map

AI Agent Architecture: The Production Map

Map the model, tools, memory, orchestration, approvals and evaluation behind a production AI agent, with a support workflow and buy-versus-build decisions.Oct 25, 2026Build
GPT Models: Model IDs, ChatGPT Defaults and Where They Run

GPT Models: Model IDs, ChatGPT Defaults and Where They Run

OpenAI GPT models explained: exact IDs, context windows, ChatGPT defaults, Codex access, open-weight gpt-oss and retirement dates.Oct 25, 2026AI
Cursor Models: What You Can Use After the October Change

Cursor Models: What You Can Use After the October Change

Which Cursor models you can use after October, how Auto routes tasks, and how to choose across Grok, Composer, Claude, GPT and Gemini.Oct 25, 2026Build
Pipedrive Review

Pipedrive Review

Pipedrive for small sales teams: visual pipelines, activity-based selling, plan gates, AI features, add-ons and the limits that decide the purchase.Oct 25, 2026Business
Claude Models: Current Lineup, Defaults and Which to Use

Claude Models: Current Lineup, Defaults and Which to Use

Compare current Claude models, API IDs, limits, app and Code defaults, platform access and retirement dates. Choose by capability, speed and effort.Oct 25, 2026AI
Claude Mythos Explained: Access and Agent Safety

Claude Mythos Explained: Access and Agent Safety

What Claude Mythos is, who can access Mythos 5.1, and what Anthropic and AISI's findings mean for agents your business already runs.Oct 25, 2026AI
AI Native Company: What It Means and How It Works

AI Native Company: What It Means and How It Works

What makes a company AI-native? Understand team design, agent workflows, delivery economics and evaluation, then assess your own business.Oct 25, 2026AI
Prompt Templates: Six Reusable Examples for Business Teams

Prompt Templates: Six Reusable Examples for Business Teams

Six worked prompt templates for recurring business jobs, with clear variables, fixed outputs, testing steps and practical ways to share them.Oct 25, 2026AI
Types of AI Agents: Two Maps for Business

Types of AI Agents: Two Maps for Business

Learn five textbook AI agent types and seven business categories, with product examples, control boundaries, typical failures and adoption rules.Oct 25, 2026AI
Postiz Review

Postiz Review

Postiz review of cloud and self-hosting, supported channels, AI, agency workflows and limits, with a clear rule for when to switch.Oct 25, 2026Business
LLM Parameters: Model Weights and Generation Settings

LLM Parameters: Model Weights and Generation Settings

Understand model size, active MoE weights and API controls, with provider-specific rules and starting settings for extraction, drafting and code.Oct 25, 2026Build
Continuous Batching: How It Improves LLM Throughput

Continuous Batching: How It Improves LLM Throughput

How continuous batching improves shared LLM throughput, changes latency, and works with KV cache in vLLM, SGLang, TensorRT-LLM and TGI.Oct 25, 2026Build

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